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Description
PINZA DE DISECCION. PINZA JACOB, RECTA, CON DIENTES 2 X 2, LONGITUD 21 CM.
IMSS product code
537.703.8145.01
Each circle represents one of the 2 purchases of PINZA DE DISECCIÓN made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 36,057 MXN | 4,973.4 MXN | 16 % | 2.72 | 26 de noviembre de 2010 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 339.3 MXN | 46.8 MXN | 16 % | 0.8 | 1 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORREA AYALA GEORGINA | 1 | 46.8 MXN | 16 % | 0.8 | 2011 - 2011 |
| MED-MACH S.A. DE C.V | 1 | 4,973.4 MXN | 16 % | 2.72 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.703.8145.01")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.703.8145.01')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.703.8145.01')